Stefan Edwards is a Data Scientist with 12 years’ experience applying quantitative genetics, bioinformatics and pragmatic software engineering to real-world breeding and analytics problems. With a PhD in Quantitative Genomics and roles at The Roslin Institute and Kamstrup, he builds scalable analysis pipelines (R, Python, SQLite, Fortran) and reproducible visualisations that turn genomic and hyperspectral data into better breeding decisions. He combines academic rigor—authored R/Bioconductor packages and taught programming courses—with production delivery at an industrial metering company, bridging research and engineering. Known for concise code, clear communication and user-friendly tools (including Shiny apps and package development), he focuses on reducing operational overhead for large-scale model evaluation. Based in Silkeborg, Denmark, he brings a rare mix of domain expertise in genetics and practical data-product experience that speeds insights from complex datasets.
12 years of coding experience
Bachelor of Science (BSc), Medical Biotechnology and Engineering, Bachelor of Science (BSc), Medical Biotechnology and Engineering at Aalborg University
Cand.scient, Bioinformatics, Cand.scient, Bioinformatics at Aarhus University
Doctor of Philosophy (PhD), Quantitative Genomics, Doctor of Philosophy (PhD), Quantitative Genomics at Graduate School of Science and Technology, Aarhus University
Contributions:6 releases, 1 review, 214 commits in 3 years 10 months
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